System Bits: April 18


RISC-V errors Princeton University researchers have discovered a series of errors in the RISC-V instruction specification that now are leading to changes in the new system, which seeks to facilitate open-source design for computer chips. In testing a technique they created for analyzing computer memory use, the team found over 100 errors involving incorrect orderings in the storage and retr... » read more

System Bits: April 11


Tiny transistors made from self-assembled carbon nanotubes While carbon nanotubes can be used to make very small electronic devices, they are difficult to handle. Now, researchers from the University of Groningen, the University of Wuppertal, and IBM Zurich, have developed a method to select semiconducting nanotubes from a solution, and make them self-assemble on a circuit of gold electrodes. ... » read more

System Bits: April 4


Nanodevices for extreme environments in space, on earth Researchers at the Stanford Extreme Environment Microsystems Laboratory (XLab) are on a mission to conquer conditions such as those found on Venus: a hot surface pelted with sulfuric acid rains, 480 degrees C, an atmosphere that would fry today’s electronics. By developing heat-, corrosion- and radiation-resistant electronics, the team ... » read more

System Bits: March 28


Automating biology experiments with adapted Lego kit To bring more of the features of modern biology labs — that often use robotic assemblies to drop precise amounts of fluids into experimental containers — to students and teachers, Stanford University researchers have shown how an off-the-shelf Lego kit can be modified to create inexpensive automated systems to do this in clubs or classro... » read more

System Bits: March 21


Sensors vulnerable to sonic cyber attacks According to University of Michigan researchers, sound waves could be used to hack into critical sensors in a wide range of technologies including smartphones, automobiles, medical devices and IoT devices. New research calls into question the longstanding computer science tenet that software can automatically trust hardware sensors, which feed auton... » read more

System Bits: March 14


Neuromorphic computing While for five decades, Moore’s law held up pretty well, today, transistors and other electronic components are so small they’re beginning to bump up against fundamental physical limits on their size, and because Moore’s law has reached its end, it’s going to take something different to meet the need for computing that is ever faster, cheaper and more efficient. ... » read more

System Bits: March 7


Math picture language Harvard University researchers reminded that Galileo called mathematics the “language with which God wrote the universe,” as he described a picture-language. Now that language has a new dimension. [caption id="attachment_35501" align="alignright" width="300"] Arthur Jaffe (left) and Zhengwei Liu are the creators of a new, 3D pictorial language for mathematics. They b... » read more

System Bits: Feb. 28


Software robots have fights lasting years According to University of Oxford and Alan Turing Institute researchers, editing bots on Wikipedia undo vandalism, enforce bans, check spelling, create links and import content automatically, whereas other non-editing bots mine data, identify data or identify copyright infringements — sometimes with unpredictable consequences. The team looked at h... » read more

System Bits: Feb. 21


Recreating the brain Stanford University and Sandia National Laboratories researchers have created an organic, high-performance, low-energy artificial synapse for neural network computing that aims to better recreate the way the human brain processes information, and could also lead to improvements in brain-machine technologies. Alberto Salleo, associate professor of materials science and e... » read more

System Bits: Feb. 14


Potential anticancer drugs selected by neural network Moscow Institute of Physics and Technology researchers along with Mail.Ru Group, and Insilico Medicine have applied a generative neural network to create new pharmaceutical medicines with certain desired characteristics. A generative adversarial network (GAN) was developed and trained to "invent" new molecular structures in order to dram... » read more

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